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Business Intelligence Training Courses

Local, instructor-led live Business intelligence (BI) training courses demonstrate through hands-on practice how to understand, plan and implement BI within an organization.

BI training is available as "onsite live training" or "remote live training". Onsite live Business Intelligence training can be carried out locally on customer premises in Denmark or in NobleProg corporate training centers in Denmark. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

★★★★★

Offering a more in-depth scope about Power BI more than any training institute that I came across to.

Mohammed Al Ameer

Course: Power BI

Exercises, additional tips from the trainer, flexibility to add more insights when requested.

Anna Alechno

Course: Power BI

I mostly enjoyed the power BI possibility.

British American Shared Services Europe

Course: Power BI

I genuinely enjoyed the visualization part.

Alexandra Grigoriu

Course: Power BI

Good coverage of all Power BI themes relevant and useful for creating reliable dashboards and reports as a beginner.

Gabriel Purghel

Course: Power BI

I liked the focus and the emphasis on self-learning, playing and reading on external resources. No Application can be taught in 2 days and self-study is very important.

Vlad Andrei Bucur

Course: Power BI

The trainer was open to answer questions and provide solutions to our real examples.

British American Shared Services Europe

Course: Power BI

I generally enjoyed the Hardtop Eco system.

Adnan Rafiq

Course: Big Data Business Intelligence for Govt. Agencies

The hands-on exercises are good for us to appreciate the capability and features of Talent.

Iverson Associates Sdn Bhd

Course: Talend Open Studio for Data Integration

I mostly enjoyed the hands-on Training.

Muraly Muniandy - Iverson Associates Sdn Bhd

Course: Talend Open Studio for Data Integration

I liked the trainer's knowledge and flexibility with discussions slightly off course topic.

Iverson Associates Sdn Bhd

Course: Talend Open Studio for Data Integration

I liked the vast knowledge and experience on topic.

Iverson Associates Sdn Bhd

Course: Talend Open Studio for Data Integration

I genuinely was benefit from the subject matter.

Bristol City Council

Course: Power BI

The knowledge of the trainer was really good, and they were able to answer any questions asked about the product.

Bristol City Council

Course: Power BI

Trainer is refined, he was able to play around with our data using his vast knowledge of the course, despite the 0 background with our work.

Mc Gyver Pascua - Sykes Asia, Inc.

Course: Power BI

I enjoyed the experience in learning Power BI.

Sykes Asia, Inc.

Course: Power BI

I liked the preparation of the raw data before layout.

Ayie Delos Santos - Sykes Asia, Inc.

Course: Power BI

I like most the DAX function topic as well as the Trainer's eagerness to resolved inappropriate output, he speak based on his audience level of understanding.

Anabelle Anore - Sykes Asia, Inc.

Course: Power BI

I enjoyed the about the actual application of the lectures provided by the Jonathan.

Sykes Asia, Inc.

Course: Power BI

I was benefit from the good Explanation and ability to Switch Topics when requested by the trainee.

McArthurGlen

Course: Power BI

I mostly enjoyed the very lively and ease.

Rey Jasper Matias - Sykes Asia, Inc.

Course: Power BI

The fact that we got ready solutions for given problems + showing a wide range of applications + passed a compendium of knowledge.

Wojciech Michalak

Course: Power BI

Translated by

The trainer has a very wide knowledge, he can convey it. It involves participants to interact and solve problems encountered together.

Nina Rokita

Course: Power BI

Translated by

The trainer was in constant contact with the recipients of the training, adjusted the pace to our needs and solved our problems on an ongoing basis and answered our questions

Dominika Jaworska

Course: Power BI

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The training was very consistent, I learned about many interesting functionalities of the program.

Anna Klimczak

Course: Power BI

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Well prepared, practiced exercises and knowledge of the teacher

Sandra Przewdzing

Course: Power BI

Translated by

power bi web- Q&A

Cristina Palii

Course: Power BI

understandable way of passing knowledge, a large number of practical exercises

Course: Power BI

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entirety

Szymon Bodak - Bridgestone Stargard Sp. z o.o.

Course: Talend Open Studio for Data Integration

Translated by

understandable way of passing knowledge, a large number of practical exercises

Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports.

Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc

Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.

Audience:

This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.

At Course Completion

Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.

- Power BI- Power BI Desktop- Working with CSV, TXT, and Excel Worksheets- Connecting to Databases- Merging, Grouping, Summarizing, and Calculating Data- Reporting- Power BI Online

SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.

In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.

Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.

In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).

By the end of this training, participants will be able to:

- Install and configure Pentaho Open Source BI Suite Community Edition (CE)- Understand the fundamentals of Pentaho CE tools and their features- Build reports using Pentaho CE- Integrate third party data into Pentaho CE- Work with big data and analytics in Pentaho CE

Audience

- Programmers- BI Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.

In this instructor-led, live training, participants will learn how to use QlikView to support decision making in their organization.

By the end of this training, participants will be able to:

- Install and configure QlikView- Analyze and display data using QliKView- Use data discoveries from QlikView to support decision making

Audience

- Managers- Business users

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.

In this instructor-led, live training, participants will learn how to start developing with QlikView.

In this instructor-led, live training, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

By the end of this training, participants will be able to:

- Install and configure Tableau (Desktop, Server, Online)- Understand the fundamentals of developing with Tableau- Create and publish data visualizations and interactions with Tableau- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

By the end of this training, participants will be able to:

- Integrate Tableau and Python using TabPy API- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

- Developers- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another.

In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

By the end of this training, participants will be able to:

- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation- Implement industrial big data storage and processing solutions for data analysis- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation

Audience

- Law Enforcement specialists with a technical background

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

- Mobile devices and applications- Cloud services- Social business technologies and networking- Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.

Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.

In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.

Dashbuilder is an open-source web application for visually creating business dashboards and reports.

In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.

By the end of this training, participants will be able to:

- Extract data from heterogeneous sources such as JDBC databases and text files- Use connectors to connect to third-party systems and platforms such as jBPM- Configure roles, permissions and access controls for users- Deploy Dashbuilder to a live production environment

Audience

- Developers- IT and system architects

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

In this instructor-led, live training, participants will learn to use JasperReports to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.

By the end of this training, participants will be able to:

- Set up and configure a JasperSoft ETL project- Design and run an ETL job- Use iReport to generate charts, images, sub-reports, and cross tabs

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.

This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.

Course objectives

Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:

- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective- How Big Data analytic differs from legacy data analytic- In-house justification of Big Data -Telco perspective- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies- Network failure and service failure analytics from Network meta-data and IPDR- Financial analysis-fraud, wastage and ROI estimation from sales and operational data- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization

- Interactive lecture and discussion.- Lots of exercises and practice.- Hands-on implementation in a live-lab environment.

Course Customization Options

- This training is based on the latest version of Apache Superset.- To request a customized training for this course, please contact us to arrange.- To learn more about Apache Superset, please visit: https://superset.incubator.apache.org

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